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Calibration of positron emission tomograph detector modules using new neural method

Calibration of positron emission tomograph detector modules using new neural method

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A new method for calibration of positron emission tomography detector modules is proposed. A purposely-modified version of the standard neural self-organising map is adopted. Experimental results to assess accuracy and efficiency of the proposed method are included.

Inspec keywords: gamma-ray detection; medical computing; self-organising feature maps; calibration; solid scintillation detectors; position sensitive particle detectors; positron emission tomography; modules

Other keywords: positron emission tomograph detector modules; calibration; standard neural self-organising map

Subjects: Position sensitive detectors; X-ray, gamma-ray instruments and techniques; Particle and radiation detection and measurement; Patient diagnostic methods and instrumentation; Neural computing techniques; Nuclear medicine, emission tomography; Scintillation detectors; scintillators and photomultipliers; X-ray and gamma-ray equipment; Nuclear medicine, emission tomography; Biology and medical computing; Neural nets (theory)

References

    1. 1)
      • Mao, A.: `Positron emission tomograph detector module calibration through morphological algorithms and interactive correction', 1999–2000 International Student Technical Writing Competition (ISTWC) winners.
    2. 2)
      • J.L. Humm , A. Rosenfeld , A. Del Guerra . From PET detectors to PET scanners. Eur. J. Nucl. Med. Mol. Imaging , 1574 - 1597
    3. 3)
      • S. Haykin . Neural networks: a comprehensive foundation.
    4. 4)
      • M.E. Phelps . PET: the merging of biology and imaging into molecular imaging. J. Nucl. Med. , 661 - 681
http://iet.metastore.ingenta.com/content/journals/10.1049/el_20040261
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